[nltk_data] Downloading package stopwords to /Users/motch/nltk_data... [nltk_data] Package stopwords is already up-to-date!
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 34.0 | natesuits#4789 | for the great work on creating a first, but incredibly insightful draft on the Treasury Management Protocol. The amount of time invested and the quality of work are clearly evident and really appreciated. |
| 26.33 | r-x-x#8344 | huge contribution with the mastersheet now we get to know so many data and it will help sampo alot! |
| 25.33 | karmaticacid#1218 | for repping TE, TEC & TEA at ETHcc!! |
| 21.0 | kristofer#1475 | for data extaction and other help in making it possible for Sampo to dish praise in the Sampo Discord channel so that we can run some experiments in piggybacking on top of the Praise system with supplemental funding from the Sampo budget |
| 20.25 | liviade#1387 | for a great session on burning out with so many great ideas to make the TEC more healthy place to be. |
| 20.25 | 🐙 octopus#5508 | for sharing his art publicly. It gives such an important dimension to the technical work you do and inspires me to be more creative. |
| 18.33 | akrtws (TE Academy)#4246 | for planning, organizing and bringing to life such an incredible, fun, creative and informative event to celebrate TE Academy's birthday! 🎂 Congratulations for this great achievement |
| 17.0 | pat.zip (TE Academy)#5266 | for planning, organizing and bringing to life such an incredible, fun, creative and informative event to celebrate TE Academy's birthday! 🎂 Congratulations for this great achievement |
| 15.75 | AnaTech#7412 | for giving a talk at Giveth's Community Call about Token Engineering and the educational programs to learn Token Engineering 💜 |
| 15.67 | Kojak#5611 | for being the spark that initiated the SWOT initiative and for pushing it forward by starting conversations about it around the TEC and by sharing a presentation with greater detail on the analysis and possible solutions/initiatives to address the problems the TEC is facing |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 190 praises, 32 (16.84%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 190 praises, 0 (0.00%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.